State-space solutions to the dynamic magnetoencephalography inverse problem using high performance computing

State-space solutions to the dynamic magnetoencephalography inverse problem using high performance computing

Determining the magnitude and location of neural sources within the brain that are responsible for generating magnetoencephalography (MEG) signals measured on the surface of the head is a challenging problem in functional neuroimaging. The number of potential sources within the brain exceeds by an o...

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Bibliographic Details
Main Authors: Long, Christopher J. (Author), Purdon, Patrick L. (Author), Temereanca, Simona (Author), Desai, Neil U. (Contributor), Hamalainen, Matti S. (Contributor), Brown, Emery N. (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Mathematical Statistics, 2012-04-04T19:18:59Z.
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